Experienced Full Stack Data Analyst – Web & Cloud Application Development

Join arenaflex, a leading retail and technology company, as a Full Stack Data Analyst in our Data Ventures team. As a key member of our team, you will play a crucial role in driving business decisions through data-driven insights, product development, and innovation. If you're passionate about data, have a knack for storytelling, and are eager to make a significant impact on our business, we want to hear from you.

About arenaflex

arenaflex is a retail and technology company that's committed to helping people live better. Our mission is to make a positive impact on our customers' lives by providing them with the best possible shopping experience. As a Full Stack Data Analyst, you'll be part of a team that's dedicated to using data to drive business decisions, improve product development, and innovate new solutions.

About the Role

As a Full Stack Data Analyst, you'll be responsible for researching, gathering, and analyzing client data to provide actionable insights that drive business decisions. You'll work closely with our product development teams to create data-driven dashboards that capture key performance indicators, helping us to optimize our products and services. Your role will involve:

• Collaborating with business and product partners to tackle complex business problems and identify patterns and opportunities
• Applying your expertise in quantitative analysis, data mining, and data visualization to uncover insights that drive business decisions
• Defining and assessing key performance metrics for new product launches
• Creating data visualizations to track and measure the impact of product initiatives and business challenges
• Identifying new opportunities to improve key financial metrics, understanding underlying drivers for change in metrics
• Leading exploratory data analysis, including hypothesis testing, statistical derivation, and data modeling
• Working with data stewards and data engineering teams to collect and handle accurate data from various sources
• Working effectively cross-functionally and communicating data insights to non-technical stakeholders

Requirements

To be successful in this role, you'll need:

• A Bachelor's degree in Business, Engineering, Statistics, Finance, Mathematics, Computer Science, or a related field
• 2 years of experience in data analysis, data science, statistics, or a related field
• Strong expertise in data analysis, data mining, and data visualization
• Experience with languages used to control data and extract insights from large datasets (SQL, Python, Presto, etc.)
• Strong storytelling experience with data visualizations in Power BI, Tableau, Looker, etc.
• Experience with data quality tools like Google DataPlex (Collibra Information Quality or SAS Information Management or IBM InfoSphere Data Server)
• Experience with quality testing using Selenium, Cucumber, or Tosca
• Experience in building multi-step ETL jobs/data pipelines and working with workflow management systems
• Experience handling complex data on cloud platforms (Google Bigquery and Hive)
• Experience with data modeling (E-R) and strong BI concepts
• Fundamental understanding of statistics and AI models
• Related experience in the retail or finance industries
• Excellent oral and written communication skills and ability to build strong relationships
• Willingness to adapt to changing needs in a fast-paced environment

Preferred Qualifications

* Master's degree in Business, Computer Science, Statistics, Finance, Mathematics, or a related field

• Experience with data science, data analysis, statistics, or a related field
• Experience with data visualization tools like Power BI, Tableau, Looker, etc.
• Experience with data quality tools like Google DataPlex (Collibra Information Quality or SAS Information Management or IBM InfoSphere Data Server)
• Experience with quality testing using Selenium, Cucumber, or Tosca
• Experience in building multi-step ETL jobs/data pipelines and working with workflow management systems
• Experience handling complex data on cloud platforms (Google Bigquery and Hive)
• Experience with data modeling (E-R) and strong BI concepts
• Fundamental understanding of statistics and AI models
• Related experience in the retail or finance industries
• Experience with data visualization tools like Power BI, Tableau, Looker, etc.

Benefits and Advantages

As a Full Stack Data Analyst at arenaflex, you'll enjoy a competitive salary, benefits package, and opportunities for growth and development. Some of the benefits you'll enjoy include:

• Competitive salary and benefits package
• Opportunities for growth and development
• Collaborative and dynamic work environment
• Recognition and rewards for outstanding performance
• Comprehensive training and development programs
• Flexible work arrangements and work-life balance
• Access to cutting-edge technology and tools
• Opportunities to work on high-impact projects and initiatives

How to Apply

If you're passionate about data, have a knack for storytelling, and are eager to make a significant impact on our business, we want to hear from you. To apply for this role, please submit your resume, cover letter, and any relevant work samples to our online application portal. We can't wait to hear from you!

Equal Opportunity Employer

arenaflex is an Equal Opportunity Employer – By Choice. We believe that we are best positioned to help our partners, customers, and communities we serve live better when we truly know them. That means getting it, respecting, and valuing diversity unique styles, experiences, personalities, skills, thoughts, and feelings – while being inclusive, all the same.

Document Requirements

To apply for this role, you'll need to submit the following documents:

• Qualifications certificate with mark sheets
• Passport size photographs
• Signature

How to Apply

To apply for this role, please submit your resume, cover letter, and any relevant work samples to our online application portal. We can't wait to hear from you! Apply Job! Apply for this job